The computational load balance among the processors is maintained by a new method termed the adaptive block technique for the domain decomposition parallelization.
An adaptive solution based on self-clustering, that considers both communication reduction and computational load-balancing, is proposed.
This is because the number density of plasma particles is highly inhomogeneous in the global magnetosphere and it is not easy to balance computational load among computational domains (or computing processes) in massively parallel PIC simulation.
As a result, a two-way coupled Computational Fluid Dynamics Population Balance Model (CFD PBM) along with an efficient numerical solution for the population balance equation has been proposed.
The spatial and temporal resolution of the discretization are tuning parameters to balance computational effort with model accuracy.
The algorithm uses on-line learning to balance computational loads between a construction and an improvement method, both working on high level solution representations.
Large-scale tridiagonal matrix solvers based on heterogeneous systems currently cannot balance computational efficiency and numerical stability when solving a non-diagonally dominant matrix.
The smoothing and wrapping tools can be applied to the remaining models, using the Wrapping tool with a lower gap closing distance of 1.5 mm (chosen to balance computational time and quality), followed by the Smoothing tool as indicated previously.
In order to balance computational cost and prediction accuracy, a novel SASA-based solvation model was developed by fitting the solvation free energies of proteins predicted by GB, as shown in Fig. 1a.
Through theoretical analysis, we prove that TDMC has the properties of truthfulness, individual rationality, budget balance, computational tractability, and asymptotic efficiency as the workload supply compared with demand becomes more and more sufficient.
